{"id":"https://openalex.org/W7124149073","doi":"https://doi.org/10.1109/icpads67057.2025.11323140","title":"Improving One-Shot Person Re-Identification with Video Diffusion Model","display_name":"Improving One-Shot Person Re-Identification with Video Diffusion Model","publication_year":2025,"publication_date":"2025-12-14","ids":{"openalex":"https://openalex.org/W7124149073","doi":"https://doi.org/10.1109/icpads67057.2025.11323140"},"language":null,"primary_location":{"id":"doi:10.1109/icpads67057.2025.11323140","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpads67057.2025.11323140","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 31th International Conference on Parallel and Distributed Systems (ICPADS)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065562660","display_name":"Yi Zhou","orcid":"https://orcid.org/0000-0001-7657-6100"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Zhou","raw_affiliation_strings":["University of Electronic Science and Technology of China,Chengdu,P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,Chengdu,P. R. China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101226704","display_name":"Xianyang Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianyang Xu","raw_affiliation_strings":["University of Electronic Science and Technology of China,Chengdu,P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,Chengdu,P. R. China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101816994","display_name":"Zhiwei Zhao","orcid":"https://orcid.org/0000-0002-0699-9797"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwei Zhao","raw_affiliation_strings":["University of Electronic Science and Technology of China,Chengdu,P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,Chengdu,P. R. China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.5695729,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9584000110626221,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9584000110626221,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.012500000186264515,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.005100000184029341,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6079999804496765},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5331000089645386},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5090000033378601},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.48910000920295715},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.4242999851703644},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.4138999879360199},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.3930000066757202},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.320499986410141}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7799000144004822},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6292999982833862},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6079999804496765},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5820000171661377},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5331000089645386},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5090000033378601},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.48910000920295715},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.4242999851703644},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.4138999879360199},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.3930000066757202},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37779998779296875},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.320499986410141},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.31279999017715454},{"id":"https://openalex.org/C83248878","wikidata":"https://www.wikidata.org/wiki/Q344000","display_name":"Active appearance model","level":3,"score":0.2919999957084656},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.28790000081062317},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.2818000018596649},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2750999927520752},{"id":"https://openalex.org/C109747225","wikidata":"https://www.wikidata.org/wiki/Q815758","display_name":"Scarcity","level":2,"score":0.27160000801086426},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2696000039577484},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.2662000060081482},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2655999958515167},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.26260000467300415},{"id":"https://openalex.org/C2776674983","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image editing","level":3,"score":0.25130000710487366}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpads67057.2025.11323140","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpads67057.2025.11323140","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 31th International Conference on Parallel and Distributed Systems (ICPADS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2283789355","display_name":null,"funder_award_id":"62372094,62472076","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5860469658","display_name":null,"funder_award_id":"2024YFE0197400","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8904097955","display_name":null,"funder_award_id":"2025YFHZ0197","funder_id":"https://openalex.org/F4320329861","funder_display_name":"Natural Science Foundation of Sichuan Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320329861","display_name":"Natural Science Foundation of Sichuan Province","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W71666767","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2342611082","https://openalex.org/W2346369283","https://openalex.org/W2519338267","https://openalex.org/W2520433280","https://openalex.org/W2549139847","https://openalex.org/W2963037989","https://openalex.org/W2963438548","https://openalex.org/W2996946635","https://openalex.org/W2998792609","https://openalex.org/W3016719260","https://openalex.org/W3124076076","https://openalex.org/W3143016713","https://openalex.org/W3156100202","https://openalex.org/W3166812855","https://openalex.org/W4214736485","https://openalex.org/W4220757105","https://openalex.org/W4282968242","https://openalex.org/W4312361652","https://openalex.org/W4312933868","https://openalex.org/W4383503961","https://openalex.org/W4384472182","https://openalex.org/W4387195417","https://openalex.org/W4407200484","https://openalex.org/W4409365953"],"related_works":[],"abstract_inverted_index":{"One-shot":[0],"person":[1,51],"re-identification":[2],"(Re-ID)":[3],"is":[4,17,158],"typically":[5,80],"applied":[6],"to":[7,42,124,160,165,177],"retrieve":[8],"and":[9,36,60],"track":[10],"individuals,":[11],"where":[12],"only":[13],"a":[14,103,110,129,162],"single":[15],"image":[16,188],"available":[18],"per":[19],"identity.":[20],"Such":[21],"extreme":[22],"data":[23,75],"scarcity":[24],"faces":[25],"challenges,":[26,99],"including":[27],"substantial":[28],"appearance":[29],"variations,":[30],"significant":[31],"changes":[32],"in":[33,77,90,136,199],"camera":[34],"viewpoints,":[35],"severe":[37],"domain":[38],"shifts":[39],"that":[40,108,146,173],"lead":[41],"large":[43],"visual":[44],"discrepancies":[45],"across":[46],"views.":[47],"Existing":[48],"research":[49],"on":[50,56,83,151],"Re-ID":[52],"has":[53],"predominantly":[54],"focused":[55],"optimizing":[57],"model":[58,113,123,164],"architectures":[59],"training":[61,85,94],"strategies.":[62],"Although":[63],"several":[64],"recent":[65],"studies":[66],"have":[67],"explored":[68],"the":[69,120,147,192],"use":[70],"of":[71,128,149,195],"diffusion":[72,112,122],"models":[73],"for":[74],"augmentation":[76],"Re-ID,":[78],"they":[79],"require":[81],"fine-tuning":[82],"taskspecific":[84],"datasets,":[86],"limiting":[87],"their":[88],"applicability":[89],"scenarios":[91],"with":[92],"restricted":[93],"samples.":[95],"To":[96],"address":[97],"these":[98],"we":[100,144],"propose":[101],"EGD-VDM,":[102],"generalized":[104],"gallery":[105],"enhancement":[106],"framework":[107],"leverages":[109],"commercial":[111],"without":[114],"fine-tuning.":[115],"Specifically,":[116],"our":[117,196],"method":[118],"employs":[119],"video":[121],"synthesize":[125],"virtual":[126],"views":[127],"pedestrian":[130],"by":[131,139],"generating":[132],"visually":[133],"consistent":[134],"variations":[135],"viewpoint,":[137],"guided":[138],"meticulously":[140],"crafted":[141],"prompts.":[142],"Particularly,":[143],"observe":[145],"impact":[148],"resolution":[150],"accuracy":[152],"varies:":[153],"In":[154,168],"low-resolution":[155],"scenarios,":[156],"it":[157],"necessary":[159],"incorporate":[161],"super-resolution":[163],"enhance":[166],"resolution;":[167],"contrast,":[169],"extensive":[170],"experiments":[171],"demonstrate":[172],"EGD-VDM":[174],"achieves":[175],"up":[176],"a$\\mathbf{7.":[178],"8":[179],"\\%}$performance":[180],"improvement":[181],"over":[182],"competitive":[183],"baselines":[184],"when":[185],"using":[186],"high-resolution":[187],"inputs.":[189],"This":[190],"highlights":[191],"generalization":[193],"capability":[194],"method,":[197],"especially":[198],"one-shot":[200],"scenarios.":[201]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-01-15T00:00:00"}
